About
I'm an AI researcher and engineer working across the full stack of technical systems, from embedded hardware and space systems to the internals of modern machine learning models.
I focus on building systems that are both rigorous and real, combining production-grade engineering with experiments that produce genuine insight rather than just impressive metrics.
I currently work as an AI Research Assistant developing machine learning systems for speech and biosignal understanding. Previously, I worked as a Software Engineering Intern (Machine Learning Focus) at Capital Technology Group, contributing to ML systems operating on large government and financial datasets for anomaly detection, trade surveillance, and predictive analytics.
Outside of research, I build systems that connect theory with deployment, including embedded platforms, data infrastructure, and technical software.
Some of the systems I'm currently building can't be public yet. When they are, they'll probably show up here.
Updates
Current Focus
Continuing my work as an AI Research Assistant while pursuing additional research and technical initiatives across machine learning, embedded systems, and data-driven infrastructure.
- Speech & alignment research
- Ongoing technical research
- Private ventures in progress